Papers Accepted for the Application Stream

Best Application Paper

Patients Forecasting in Emergency Services by using Machine Learning and exogenous variables
Hugo Álvarez-Chaves, David F. Barrero, Maria D. R-Moreno and Mario Cobos (Universidad de Alcalá, Spain)

Best Student Application Paper

A Live-User Evaluation of a Visual Module Recommender & Advisory System for Undergraduate Students
N. Hagemann, M.P. O`Mahony, B. Smyth (Insight Centre for Data Analytics, University College Dublin, Ireland)

A1: Applications of Machine Learning

Automatic Information Extraction from Electronic Documents using Machine Learning
N. Kamaleson, D.F. Chu and F.E.B. Otero (University of Kent, UK)

Modelling Satellite Data for Automobile Insurance Risk
Sam Richardson, Yixie Shao, Dana Khartabil and Simon Thompson (GFT Financial Ltd., UK)

Ranking Pathology Data in the Absence of a Ground Truth
Jing Qi, Girvan Burnside and Frans Coenen (University of Liverpool, UK)

Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations
Himadri Sikhar Khargharia and Siddhartha Shakya (EBTIC, Khalifa University, UAE), Russell Ainslie and Gilbert Owusu (British Telecom, UK)

A2: AI for Medicine

Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity
Alexandar Vincent-Paulraj, Girvan Burnside, Frans Coenen, Munir Pirmohamed and Lauren Walker (University of Liverpool, UK)

Addressing the Challenge of Data Heterogeneity using a Homogeneous Feature Vector Representation
H. Aldosari, F. Coenen, G. Lip and Y. Zheng (University of Liverpool, UK)

Context-aware Support for Cardiac Health Monitoring using Federated Machine Learning
Godwin Okechukwu Ogbuabor, Juan Carlos Augusto, Ralph Moseley, and Alechia van Wyk (Middlesex University, UK)

Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements
D. Verma, K. Bach and P.J. Mork (Norwegian University of Science and Technology, Norway)

A3: Advances in Applied AI

AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-box Approaches
K. Zhang, K. Wu, S. Chen, Y. Zhao and X. Yao (Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, China)

Adaptive Maneuver Planning for Autonomous Vehicles using Behavior Tree on Apollo Platform
M. Jamal and A. Panov (Moscow Institute of Physics and Technology, Russia)

Behavioural User Identification from Clickstream Data for Business Improvement
Gaurav Misra, Matteo Migliavacca and Fernando E.B. Otero (University of Kent, UK)

Short Application Stream Papers

AI enabled Bio Waste Contamination-Scanner
Frederic Stahl and Oliver Ferdinand (German Research Center for Artificial Intelligence, Germany), Lars Nolle (Jade University of Applied Sciences, Germany), Alexandra Pehlken (OFFIS—Institut für Informatik, Germany), Oliver Zielinski (German Research Center for Artificial Intelligence, Germany)

Parkinson`s Disease Tremor Severity Classification - A Comparison Between ON and OFF Medication State
G. AlMahadin, A. Lotfi (Nottingham Trent University, UK), Marie Mc Carthy (ICON PLC., Ireland) and Philip Breedon (Nottingham Trent University, UK)

Towards Publishing Ontology-based Data Quality Metadata of Open Data
I. Esnaola-Gonzalez (Tekniker, Spain)

Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms
C. James-Reynolds and E. Currie (Middlesex University, UK)